Evidence map›Paper›PMID 31164345›Full record

ArticleCancer prevention research (Philadelphia, Pa.)2019

Three-Dimensional Nanoscale Nuclear Architecture Mapping of Rectal Biopsies Detects Colorectal Neoplasia in Patients with Inflammatory Bowel Disease.

Shikhar Uttam, Jana G Hashash, Justin LaFace, David Binion, Miguel Regueiro, Douglas J Hartman, Randall E Brand, Yang Liu

Open access · greenAbstract readValidation Study
In one paragraph

Article in Cancer prevention research (Philadelphia, Pa.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Predicting Crohn's disease severity in the colon using mixed cell nucleus density from pseudo labels.Proceedings of SPIE--the International Society for Optical Engineering · 2023
    Article
  7. Article
  8. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Shikhar Uttam *Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania. liuy@pitt.edu shf28@pitt.edu.ORCID 0000-0002-0897-2918
Jana G Hashash *Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Justin LaFaceBiomedical Optical Imaging Laboratory, Departments of Medicine and Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania.
David BinionDivision of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Miguel RegueiroDepartment of Gastroenterology, Hepatology and Nutrition, Cleveland Clinic, Cleveland, Ohio.
Douglas J HartmanDepartment of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.ORCID 0000-0001-8962-8993
Randall E BrandDivision of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.ORCID 0000-0002-4136-3313
Yang LiuDivision of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania. liuy@pitt.edu shf28@pitt.edu.
University of Pittsburgh · USCleveland Clinic · US

Funding

Three dimensional nanoscale nuclear architecture mapping based taxonomy of precursor lesions for predicting colorectal cancer riskR01CA232593 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LIU, YANG, UTTAM, SHIKHAR · 2019 to 2023
$2.1M
Novel Nanoscale Single-Cell Analysis of Exfoliative CytologyR01EB016657 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LIU, YANG · 2013 to 2016
$1.3M
(PQC2)Nanoscale changes in 3D nuclear architecture during breast tumorigenesisR01CA185363 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LIU, YANG · 2014 to 2017
$1.3M
NCI NIH HHS R01 CA185363NCI NIH HHS R01 CA232593NIBIB NIH HHS R01 EB016657
6 · The paper itself

Abstract

Patients with inflammatory bowel disease (IBD) colitis are at an increased risk of developing colorectal cancer and are currently recommended to undergo extensive annual or biennial colonoscopy, a costly and invasive procedure. Most surveillance colonoscopies are negative with no existing objective measures for assessing their risk of developing cancer. We have recently developed a less invasive, cost-effective and objective method to assess cancer risk by detecting the presence of colonic neoplasia via 3-dimensional (3D) nanoscale nuclear architecture mapping (nanoNAM) of normal-appearing rectal biopsies. To establish its translational relevance, we prospectively recruited 103 patients with IBD colitis undergoing surveillance colonoscopy and measured submicroscopic alterations in aberrant intrinsic nuclear architecture of epithelial cells from normal-appearing rectal biopsies with nanoNAM. The results were correlated with the histologic diagnoses from all random biopsies obtained during initial and follow-up colonoscopy within 3 years. Using nanoNAM-based structural characterization as input features into a soft margin-based ν-SVM risk classifier, we show that nanoNAM detects colonic neoplasia with AUC of 0.87 ± 0.04, sensitivity of 0.81 ± 0.09, and specificity of 0.82 ± 0.07 in the independent validation set. In addition, projecting nanoNAM features onto a 2-sphere reveals patients with low-risk and high-risk IBD colitis existing on separate hemispheres. Finally, we show that this ability to assess cancer risk translates to clinically-relevant estimation of individual-patient likelihood of being truly at risk. We demonstrate the potential of nanoNAM to identify patients with IBD at higher risk of developing cancer from normal-appearing rectum tissue, which may aid clinicians in patients with personalized IBD colitis surveillance.

Indexed as

AdultAgedBiopsyCell NucleusColonoscopyColorectal NeoplasmsDisease ProgressionEarly Detection of CancerFeasibility StudiesFemaleHumansImaging, Three-DimensionalInflammatory Bowel DiseasesMaleMass ScreeningMiddle Aged

Identifiers

PMID31164345
PMCPMC6677599
OpenAlexW2948207325

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.